code: def decode_tokens(tokens):
      return "".join(list(map(decode_token, tokens)))
  
file_path: mixture-of-attention/train.py
imports: import gzip
  import random
  import tqdm
  import numpy
  import torch
  from torch.optim import Adam
  from torch.nn import functional
  from torch.utils.data import DataLoader, Dataset
  from mixture_of_attention.transformer import Transformer
  from mixture_of_attention.autoregressive_wrapper import AutoregressiveWrapper
label_desc: Use image node_id 3 for calling a global function with example usage: decode_tokens(tokens) and returns: str